Highlights in 2017

Data Infrastructure for Deep Learning and Intelligent Transport Systems

Ken Kennedy is working as a Senior Advanced Intelligent Data Analyst, at the Advanced Intelligent Data Innovation Lab, BMW Group IT Research Center

The Pop in your Job: Whats your passion?
The aspect of my job I find most interesting is the ability to bring in new approaches to solve problems that the business is facing.

Automated driving at Volkswagen Group Research - Future challenges for environment perception

Dr. Thorsten Bagdonat studied Theoretical Physics at Technische Universität Braunschweig, Germany, and finished in 2004 with a PhD in Theoretical Physics. After his PhD, Dr. Thorsten Bagdonat, worked as a software developer at Wente & Thiedig GmbH for 4 years. He joined Volkswagen AG in 2011, first as a software & Tools developer for powertrain ECUs, and later as the Project lead in “Sensor technology” at Volkswagen Group Research Driver Assistance and Integrated Safety (K-EFFS/F). He has been involved in many image processing projects for HeavyDAS and AutoPilot, and now he is the Head of “Perception” group at Volkswagen Group Research „Automated Driving“ (K-GERFA/U).

The role of Deep Learning in future automated vehicle systems

His Pop in his Job and the passion which drives him are the uncertainties in autonomous driving. While deep learning is such a powerful tool that is solving many problems and will be solving more problems, you would not expect any deep neural network can cover every single corner case. These corner cases, of course frustrating him sometimes, but meanwhile drive him every day.

Artificial Intelligence for Self-Driving Cars: Opportunities & Technologies

Why didn't self-driving cars hit the market yet? What makes it difficult to build them? And which technologies will play an important role basically at Level 4? Although self-driving cars were repeatedly announced in recent years, we still don't see them on streets, apart from occasional tests. While the technology behind some of the first autonomous cars seemed somewhat mysterious, it became subject of public discussion in the meanwhile.

Florians job as a the head of software competence center at Audi Electronics Venture GmbH is to find solutions & new technologies in order to solve this challenges and to move forward in the exciting field of Level 4 Automation.

StixelNet: Monocular vision-based freespace detection with fully automated ground truth annotation

Dan is a Staff Researcher at the Smart Sensing and Vision group, General Motors R&D Israel, in the fields of computer vision and machine learning. He received his B.Sc. degree (with honor) in mathematics and computer science from the Tel-Aviv University, in 2000, and the M.Sc. and PhD degrees in applied mathematics and computer science at the Weizmann Institute, in 2004 and 2009 respectively. In the Weizmann Institute he conducted research in human and computer vision under the supervision of Professor Shimon Ullman. Since 2007 he has been conducting industrial computer vision research and development at several companies including General Motors and Elbit Systems, Israel.

Dan's Pop in his Job and passion is to be excited to tackle on a day to day basis the challenging research problems involved in developing the perception for autonomous driving. The most intriguing question guiding his research is: how do we, as humans, perceive the world around us?


Speakers 2017


Auto.SCALE Pitch decks


Speakers of the co-located act! 2017



Highlights from past vehicle automaton events